In this episode, we spoke with Lisen Kaci, the founder behind Discrepancy AI. Lisen talks about his journey from working as an AI engineer in document processing to founding his startup based in Toronto. He identifies key industry limitations with legacy OCR technologies and explains how Discrepancy AI is leveraging AI tool-chaining to convert any document into actionable structured data. 

Their innovative approach focuses on reducing manual review costs by over 80%. Lisen discusses various use cases, including income verification for rental and mortgage screening. He emphasizes their unique, no-code implementation that integrates seamlessly with existing systems. The conversation also touches on the future of AI, industry challenges, fundraising strategies, and Discrepancy AI’s next product launch that aims to automate complex report generation.